Construct dynamic graphs for hand gesture recognition via spatial-temporal attention

Y Chen, L Zhao, X Peng, J Yuan… - arXiv preprint arXiv …, 2019 - arxiv.org
We propose a Dynamic Graph-Based Spatial-Temporal Attention (DG-STA) method for hand
gesture recognition. The key idea is to first construct a fully-connected graph from a hand …

Action recognition and pose estimation method and apparatus

Y Qiao, W Du, Y Wang, L Jiang, J Liu - US Patent 11,478,169, 2022 - Google Patents
Action recognition methods are disclosed. An embodiment of the methods includes:
identifying a video that comprises images of a human body to be processed; identifying at …

Graph convolutional neural network for multi-scale feature learning

M Edwards, X Xie, RI Palmer, GKL Tam… - Computer Vision and …, 2020 - Elsevier
Automatic deformable 3D modeling is computationally expensive, especially when
considering complex position, orientation and scale variations. We present a volume …

[PDF][PDF] Generative Modelling in Non-Euclidian Domains

MP Kenning - 2019 - csvision.swan.ac.uk
Machine learning has been advanced considerably by the development of deep learning.
Conventional deep-learning techniques are, however, limited to topologically regular data …

Local representation learning with a convolutional autoencoder

MP Kenning, X Xie, M Edwards… - 2018 25th IEEE …, 2018 - ieeexplore.ieee.org
Very recent advances in machine learning have expanded deep learning methods to
spatially-irregular data domains. Deep learning on graphs in particular has received greater …